Results 11 to 20 of about 58,008 (265)
IMAGE SHARPENING WITH BLUR MAP ESTIMATION USING CONVOLUTIONAL NEURAL NETWORK [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 We propose a method for choosing optimal values of the parameters of image sharpening algorithm for out-of-focus blur based on grid warping approach. The idea of the considered sharpening algorithm is to move pixels from the edge neighborhood towards the
A. Nasonov, A. Krylov, D. Lyukov
doaj +1 more source
Modern Mathematics in Biomedical Imaging [PDF]
International Journal of Biomedical Imaging, 2011 Over the past decades, modern mathematics is playing an increasingly important role in the development of biomedical imaging, yielding groundbreaking ideas and powerful tools for clinical and preclinical applications. Nevertheless, there are not only growing obstacles between applied mathematicians and imaging engineers to communicate more effectively ...
Yangbo Ye +3 more
openaire +3 more sources
Special Issue – Mathematical Imaging [PDF]
Journal of Algorithms & Computational Technology, 2016 The multidisciplinary subject of Imaging Science concerning the generation, collection, duplication, analysis, modification, restoration, enhancement, comparison, feature extraction, and visualisation of images is developing in a rapid speed.
Chen, Ke, Lai, Choi Hong
openaire +7 more sources
Mathematics, 2021 In this study, we analyze the family of generalized (h,e)-implications. We determine when this family fulfills some of the main additional properties of fuzzy implication functions and we obtain a representation theorem that describes the structure of a ...
Raquel Fernandez-Peralta +2 more
doaj +1 more source
The set of all the possible compromises of a multi-level multi-objective linear programming problem
Croatian Operational Research Review, 2022 In this paper, a new approach is developed to solve multi-level multi-objective linear programming problems (ML-MOLPP), by providing the set of all the compromises without taking into account the hierarchy of the problem.
Mustapha Kaci, Sonia Radjef
doaj +1 more source
Optimization of structural similarity in mathematical imaging [PDF]
Optimization and Engineering, 2020 It is now generally accepted that Euclidean-based metrics may not always adequately represent the subjective judgement of a human observer. As a result, many image processing methodologies have been recently extended to take advantage of alternative visual quality measures, the most prominent of which is the Structural Similarity Index Measure (SSIM ...
Otero D. +3 more
openaire +3 more sources
Brain Relatively Inert Network: Taking Adult Attention Deficit Hyperactivity Disorder as an Example
Frontiers in Neuroscience, 2021 Resting-state functional MRI (rs-fMRI) has been increasingly applied in the research of brain cognitive science and psychiatric diseases. However, previous studies only focused on specific activation areas of the brain, and there are few studies on the ...
Hua Zhang +5 more
doaj +1 more source
A robust algorithm for optic disc segmentation and fovea detection in retinal fundus images
Current Directions in Biomedical Engineering, 2017 Accurate optic disc (OD) segmentation and fovea detection in retinal fundus images are crucial for diagnosis in ophthalmology. We propose a robust and broadly applicable algorithm for automated, robust, reliable and consistent fovea detection based on OD
Rust Caterina +3 more
doaj +1 more source
Mathematical Methods for Medical Imaging [PDF]
International Journal of Computer Vision, 2013 Computational anatomy is an emergingdiscipline at the interface of geometry, statistics and image analysis which aims at modeling and analyzing the biological shape of tissues and organs. The goal is to estimate representative organ anatomies across diseases, populations, species or ages, to model the organ development across time (growth or aging), to
Pennec, Xavier +2 more
openaire +2 more sources
Two-Dimensional Fuzzy Spatial Relations: A New Way of Computing and Representation
Advances in Fuzzy Systems, 2012 Fuzziness is found everywhere, in modeling spatial relations, fuzziness is found at object level as well as in relation semantics. Commonly, fuzzy topological relations are computed between fuzzy objects. Fuzziness in relation semantics is represented by
Nadeem Salamat, El-hadi Zahzah
doaj +1 more source